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Hands-On Reactive Programming with Python

You're reading from   Hands-On Reactive Programming with Python Event-driven development unraveled with RxPY

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789138726
Length 420 pages
Edition 1st Edition
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Author (1):
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Romain Picard Romain Picard
Author Profile Icon Romain Picard
Romain Picard
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Table of Contents (16) Chapters Close

Preface 1. An Introduction to Reactive Programming FREE CHAPTER 2. Asynchronous Programming in Python 3. Functional Programming with ReactiveX 4. Exploring Observables and Observers 5. Concurrency and Parallelism in RxPY 6. Implementation of an Audio Transcoding Server 7. Using Third-Party Services 8. Dynamic Reconfiguration and Error Management 9. Operators in RxPY 10. Testing and Debugging 11. Deploying and Scaling Your Application 12. Reactive Streams for Remote Communication 13. A Checklist of Best Practices 14. Assessments 15. Other Books You May Enjoy

Debugging

ReactiveX is a great framework for writing asynchronous code, and unit tests. However, it also has an Achilles' heel, which is debugging. A common weakness of all ReactiveX implementations is debugging. This is basically an empty field, with no tool to easily help with tracking issues. This lack of debugging tools is also the reason why using a good logging system to help to track bugs is a good idea.

This will probably change in subsequent years. Several other frameworks based on streams or graphs include nice debugging tools. One example is the GStreamer tracing system, which allows us to track virtually every object moving in a graph. Another one is TensorFlow, where each operation can be named and graphs can be visualized, with great navigation features. But for now, the only option to track ReactiveX issues is to go back to the old basic trick: printing traces...

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